Siglip 2 So400m Patch 14 224
Google's Siglip 2 So 400M Patch 14 224 is an open-source model that excels at tasks such as zero-shot image classification and image-text retrieval, leveraging its unified pretraining objective to improve semantic understanding and localization. Notably, it employs a training procedure that incorporates decoder loss, global-local and masked prediction loss, and adaptability to aspect ratio and resolution.
Input
Output
Context
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Max Output
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Technical Specifications
Model TypeVision
Context WindowNot available
Max Output TokensNot available
ParametersNot available
Release DateFeb 17, 2025
Training CutoffNot available
Licenseapache-2.0
Open SourceYes
Input Modalities
Image
Output Modalities
Text
Capabilities
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Data sourced from official provider APIs and documentation
Last updated: Aug 8, 2026
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